Megatron-LM/CODEOWNERS at main · chtruong814/Megatron-LM · GitHub

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# Core
[Core-ADLR] @mcore-reviewers/core-adlr
megatron/core/

[Core-NeMo] @mcore-reviewers/core-nemo
megatron/core/

^[Core-MLPerf] @mcore-reviewers/mlperf
megatron/core/

[GPT] @mcore-reviewers/gpt
megatron/core/models/gpt/

[Multimodal] @mcore-reviewers/multi-modal
megatron/core/models/multimodal/

[Hybrid-mamba] @mcore-reviewers/hybrid-mamba
megatron/core/models/mamba/

# Distributed Checkpointing
[Distributed Checkpointing] @mcore-reviewers/dist-checkpointing
megatron/core/dist_checkpointing/

# Distributed Optimizer
[Distributed Optimizer] @mcore-reviewers/dist-optimizer
megatron/core/optimizer/distrib_optimizer/

# Quantization and Inference (QAT)
[Quantization and Inference (QAT)] @mcore-reviewers/quantization-and-inference
megatron/core/inference/modelopt_support

# Datasets
[Datasets] @mcore-reviewers/datasets
megatron/core/datasets/

# Parallelism
[Pipeline Parallelism] @mcore-reviewers/pipeline-parallelism
megatron/core/pipeline_parallel/

# Transformer
[Transformer] @mcore-reviewers/core-adlr @mcore-reviewers/core-nemo
megatron/core/transformer/

[MoE-ADLR] @mcore-reviewers/moe-adlr
megatron/core/transformer/moe/

[MoE-Moe] @mcore-reviewers/moe-moe
megatron/core/transformer/moe/

# Inference
[Inference] @mcore-reviewers/inference
megatron/core/inference/

# Parallel State
[ParallelState] @mcore-reviewers/core-adlr @mcore-reviewers/core-nemo
megatron/core/parallel_state.py

[Post-Training] @mcore-reviewers/post-training
megatron/core/post_training/
megatron/post_training

[CI][1] @mcore-reviewers/ci
.gitlab/
.github/
.gitlab-ci.yml
docker/
tests/unit_tests/run_ci_test.sh
tests/test_utils/python_scripts/
tests/functional_tests/python_test_utils/
tests/functional_tests/shell_test_utils/
megatron/core/transformer/transformer_block.py
megatron/core/transformer/transformer_layer.py

^[Tests][1] @mcore-reviewers/ci
tests/functional_tests/test_cases/
tests/functional_tests/recipes/
tests/unit_tests/

[RL] @mcore-reviewers/rl
megatron/rl/
examples/rl/
test/unit_tests/test_rl_utils.py
train_rl.py